Share Email Print

Journal of Electronic Imaging

From Retinex to Automatic Color Equalization: issues in developing a new algorithm for unsupervised color equalization
Format Member Price Non-Member Price
PDF $20.00 $25.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

We present a comparison between two color equalization algorithms: Retinex, the famous model due to Land and McCann, and Automatic Color Equalization (ACE), a new algorithm recently presented by the authors. These two algorithms share a common approach to color equalization, but different computational models. We introduce the two models focusing on differences and common points. An analysis of their computational characteristics illustrates the way the Retinex approach has influenced ACE structure, and which aspects of the first algorithm have been modified in the second one and how. Their interesting equalization properties, like lightness and color constancy, image dynamic stretching, global and local filtering, and data driven dequantization, are qualitatively and quantitatively presented and compared, together with their ability to mimic the human visual system.

Paper Details

Date Published: 1 January 2004
PDF: 10 pages
J. Electron. Imag. 13(1) doi: 10.1117/1.1635366
Published in: Journal of Electronic Imaging Volume 13, Issue 1
Show Author Affiliations
Alessandro Rizzi, Univ. degli Studi di Milano (Italy)
Carlo Gatta, Univ. degli Studi di Milano (Italy)
Daniele Marini, Univ. degli Studi di Milano (Italy)

© SPIE. Terms of Use
Back to Top